Correlation Analysis on Agronomic Characters in F2 Population Derived from MR64 and Pongsu Seribu 2

Background: Rice is a staple food that feeds for almost half of the world’s population. Rice grain yield has become the major target in breeding program to develop a good quality of rice varieties. Yield is a complex character and its potential involve many other agronomic characters. The relationship between rice yield components has been study widely at phenotypic level. Correlation coefficient analysis has been used by breeders to understand the components of selection. F2 population was used in this research. Objective: The objective of the present study was to investigate the relationships between agronomic characters and grain yield for high yielding rice varieties. Results: Grain yield per plant was positively associated with plant height (r=0.296 p<0.01), number of tiller per plant (r=0.765 p<0.01), panicle number per plant (r=0.767 p<0.01), flag leaf width (r=0.370 p<0.01), flag leaf length (r=0.415 p <0.01), number of grains per panicle (r=0.750 p<0.01) , 1000-grain per weight (r=0.278 p<0.01), and grain length (r=0.248 p<0.01) indicating that simultaneous selection for these characters would result in improvement of yield. Conclusion: Both correlation and regression analysis, indicated that the number of panicles per plant, number of grains per panicle and 1000-grain weight could be considered as critical criteria for yield improvement in segregating generations of rice and selection of breeding lines.

[1]  A. Khan,et al.  Correlation and path coefficient studies of some yield related traits in rice (Oryza sativa L.) , 2014 .

[2]  U. A. Augustina,et al.  HERITABILITY AND CHARACTER CORRELATION AMONG SOME RICE GENOTYPES FOR YIELD AND YIELD COMPONENTS , 2013 .

[3]  G. Kiani,et al.  Relationship Between Morphological Traits in Rice Restorer Lines at F3 Generation Using Multivariate Analysis , 2013 .

[4]  S. Suwarno,et al.  CORRELATION ANALYSIS OF AGRONOMIC CHARACTERS AND GRAIN YIELD OF RICE FOR TIDAL SWAMP AREAS , 2010 .

[5]  S. Kashyap,et al.  Genetic Parameters and Selection Indices in F3 Progenies of Hill Rice Genotypes , 2012 .

[6]  G. Kiani,et al.  Correlation and Path Coefficient Studies in F2 Populations of Rice , 2012 .

[7]  K. Bantte,et al.  Genetic Variability, Heritability, Correlation Coefficient and Path Analysis for Yield and Yield Related Traits in Upland Rice (Oryza sativa L.) , 2012 .

[8]  M. Asif,et al.  Correlation and path analysis of yield and yield attributes in local rice cultivars (Oryza sativa L.). , 2011 .

[9]  Arvind Kumar,et al.  Correlation and Path Coefficient Analysis for Yield and Yield Component Traits in Rice (Oryza Sativa L.) , 2011 .

[10]  Liang Tang,et al.  Rice-Map: A new‐generation rice genome browser , 2011 .

[11]  M. Z. Ullah,et al.  Interrelationship and Cause-effect Analysis among Morpho-physiological Traits in Biroin Rice of Bangladesh , 2011 .

[12]  S. Jebaraj,et al.  Correlation and path coefficient analysis of some sodic tolerant physiological traits and yield in rice (Oryza sativa L.). , 2011 .

[13]  N. Chakraborty,et al.  Analysis of variability, correlation and path coefficients in induced mutants of aromatic non-basmati rice , 2010 .

[14]  Bisant Kaur,et al.  50 years of Malaysian agriculture: transformational issues challenges & direction , 2007 .

[15]  M. Chaudhary Variability and association among yield attributes and grain quality in traditional aromatic rice accessions , 2003 .

[16]  J. Reddy,et al.  Correlation and path analysis in scented rice (Oryza satna L.) , 2001 .